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Hongbing Tan
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2020 – today
- 2024
- [j3]Hongbing Tan, Libo Huang, Zhong Zheng, Hui Guo, Qianming Yang, Li Shen, Gang Chen, Liquan Xiao, Nong Xiao:
A Low-Cost Floating-Point Dot-Product-Dual-Accumulate Architecture for HPC-Enabled AI. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 681-693 (2024) - [j2]Hongbing Tan, Jing Zhang, Xiaowei He, Libo Huang, Yongwen Wang, Liquan Xiao:
A Low-Cost Floating-Point FMA Unit Supporting Package Operations for HPC-AI Applications. IEEE Trans. Circuits Syst. II Express Briefs 71(7): 3488-3492 (2024) - [c8]Hongbing Tan, Xiaowei He, Guichu Sun, Liquan Xiao, Yuanhu Cheng, Jing Zhang, Zhong Zheng, Quan Deng, Bingcai Sui, Yongwen Wang, Libo Huang:
ImSPU: Implicit Sharing of Computation Resources Between Vector and Scalar Processing Units. Euro-Par (2) 2024: 77-90 - 2023
- [j1]Hongbing Tan, Gan Tong, Libo Huang, Liquan Xiao, Nong Xiao:
Multiple-Mode-Supporting Floating-Point FMA Unit for Deep Learning Processors. IEEE Trans. Very Large Scale Integr. Syst. 31(2): 253-266 (2023) - [c7]Hongbing Tan, Jing Zhang, Libo Huang, Xiaowei He, Dezun Dong, Yongwen Wang, Liquan Xiao:
A Multi-level Parallel Integer/Floating-Point Arithmetic Architecture for Deep Learning Instructions. Euro-Par 2023: 260-274 - [c6]Jing Zhang, Libo Huang, Hongbing Tan, Ling Yang, Zhong Zheng, Qianming Yang:
Low-Cost Multiple-Precision Multiplication Unit Design For Deep Learning. ACM Great Lakes Symposium on VLSI 2023: 9-14 - [c5]Jing Zhang, Libo Huang, Hongbing Tan, Zhong Zheng, Hui Guo:
A Scalable BFloat16 Dot-Product Architecture for Deep Learning. ACM Great Lakes Symposium on VLSI 2023: 219-220 - [c4]Jing Zhang, Hongbing Tan, Libo Huang:
SFDoP: A Scalable Fused BFloat16 Dot-Product Architecture for DNN. ICCD 2023: 62-65 - 2022
- [c3]Hongbing Tan, Run Yan, Ling Yang, Libo Huang, Liquan Xiao, Qianming Yang:
Efficient Multiple-Precision and Mixed-Precision Floating-Point Fused Multiply-Accumulate Unit for HPC and AI Applications. ICA3PP 2022: 642-659
2010 – 2019
- 2017
- [c2]Hongbing Tan, Haiyan Chen, Sheng Liu, Jianguo Wu:
Modeling and evaluation for gather/scatter operations in Vector-SIMD architectures. ASAP 2017: 143-148 - [c1]Hongbing Tan, Haiyan Chen, Sheng Liu, Xikun Ma, Yaqing Chi:
A Programmable Pre-emphasis Transmitter for SerDes in 40 nm CMOS. NCCET 2017: 35-44
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